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eess.SP2026

Inverse Maxwell-Based Wall-Aware OFDM-ISAC for Slow-Moving Target Sensing

Tri Nhu Do, Yosefine Triwidyastuti, Gunes Karabulut Kurt

In this paper, we study integrated sensing and communication (ISAC) for short-range indoor orthogonal frequency-division multiplexing (OFDM) systems in which the sensing path cross…

eess.SP2026

Fourth-Order Co-Channel Interference-Aware OFDM-ISAC Sensing in Cluttered Environments

Tri Nhu Do, Yosefine Triwidyastuti, Gunes Karabulut Kurt

In this paper, we develop a sensing-centric receiver for monostatic orthogonal frequency-division multiplexing integrated sensing and communication (OFDM-ISAC) in the simultaneous…

eess.SP2026

Probabilistic Denoising-Enhanced ISAC for Stochastic Cluttered Mobile Environments

Nghia Thinh Nguyen, Tri Nhu Do

In this paper, we propose Probabilistic Denoising ISAC (PDISAC), a framework built on a multi-bit slot-partitioned ISAC waveform: by partitioning each maximal-length sequence into…

eess.SP2025

Temporal Micro-Doppler Spectrogram-based ViT Multiclass Target Classification

Nghia Thinh Nguyen, Tri Nhu Do

In this paper, we propose a new Temporal MDS-Vision Transformer (T-MDS-ViT) for multiclass target classification using millimeter-wave FMCW radar micro-Doppler spectrograms. Specif…

eess.SP2025

Generative and Explainable AI for High-Dimensional Channel Estimation

Nghia Thinh Nguyen, Tri Nhu Do

In this paper, we propose a new adversarial training framework to address high-dimensional instantaneous channel estimation in wireless communications. Specifically, we train a gen…